*This post is part of a series on Mohammad Anwar’s excellent Weekly Challenge, where hackers submit solutions in Perl, Raku, or any other language, to two different challenges every week. (It’s a lot of fun, if you’re into that sort of thing.)*

**Personal note:** It’s been an extremely challenging couple of weeks for me, due to a family emergency. As such I’m combining my solutions into a single, shorter blog post this week. If you also follow my review posts on the perlweeklychallenge.org site, you’ll note they are quite late as well. I’m sorry about that! Hopefully things will settle down so I can get back into my rhythm!

## Task 1 › 3Sum Problem

The 3Sum (or kSum) problem is another classic in computer science. With this, you are given a target sum (`$T`

) and a list of integers (`@L`

), and are asked to find all unique sets of 3 numbers in `@L`

that sum to `$T`

.

### Perl

The brute force way is to simply have a 3-nested loop and try all combinations of integers in `@L`

, and build a list of the sets that sum to `$T`

. But we can eliminate the inner loop entirely if we pre-build a hash of all numbers greater than a given number:

```
my @a = @_; my %Lh = map { shift @a => { map { $_ => 1 } @a } } 1..$#a;
```

Thus, if our input is `(1, 2, 3)`

, `%Lh = (1 => { 2 => 1, 3 => 1 }, 2 => { 3 => 1 }, 3 => { }`

.

```
sub sum3 {
my $T = shift;
# Pre-build hash of numbers greater than $y for O(1) lookups in inner loop
my @a = @_; my %Lh = map { shift @a => { map { $_ => 1 } @a } } 1..$#a;
my @r;
while (my $x = shift) {
$Lh{$_}{ $T-$x-$_ } and push @r, [$x, $_, $T-$x-$_] for @_;
}
@r;
}
```

This solution is about twice as fast as the brute force method for small lists, and that gets even better with longer lists. Note the use of `shift`

to remove `$x`

from the array, so that we only check elements after `$x`

. That’s the same idea I used to build `%Lh`

.

### Raku

In Raku, the solution couldn’t be much simpler:

```
sub sum3( Int $T, *@L ) {
@L.combinations(3).grep( $T == *.sum )
}
```

The `combinations`

call will even ensure that the sets passed to `grep`

will be in order, so we don’t need the optimization from the Perl solution, nor do we need to check for uniqueness or anything like that.

## Task 2 › Colourful Numbers

Colourful numbers are numbers where the products of all consecutive digits are unique. For example, 987 is a colourful number because (9, 8, 7, 9 × 8, 8 × 7, 9 × 8 × 7) are all unique. 988 is not a colourful number because (9, 8, **8**, 9 × 8, 8 × 8, 9 × 8 × 8) has a duplicate element (8).

For this problem, we are constrained to 3-digit colourful numbers, which makes things a little easier.

The algorithm here is essentially the problem description itself: check all 6 possible products (see above), and the number is colourful *iff* all 6 products are unique.

### Perl

```
sub is_colourful3 {
my ($x, $y, $z) = split //, $_[0];
my %seen;
$seen{$_}++ and return 0 for $x, $y, $z, $x*$y, $y*$z, $x*$y*$z;
return 1;
}
```

With Perl, it was simpler to just multiply everything by hand and check it against a `%seen`

hash. I could have used `List::Util`

‘s `uniq`

, I suppose, but there isn’t much difference, in practice.

### Raku

```
sub colourful( Int $n where { 100 ≤ $n ≤ 999 } --> Bool ) {
my @D = $n.comb».Int;
!([0], [1], [2], [0,1], [1,2], [0,1,2]).map({ [*] @D[$_] }).repeated;
}
```

Here, I feed a list of arrays into `map`

, each containing indicies of `@D`

, which I multiply with the `[*]`

reduction, and check for `repeated`

elements. The return of the function is simply the boolean inverse of `repeated`

.